Benjamin Eckart

According to our database, Benjamin Eckart authored at least 26 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Compositional Text-to-Image Generation with Dense Blob Representations.

Weili Nie, Sifei Liu, Morteza Mardani, Chao Liu, Benjamin Eckart, Arash Vahdat

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Learning to Jointly Understand Visual and Tactile Signals.

Yichen Li, Yilun Du, Chao Liu, Chao Liu, Francis Williams, Michael Foshey, Benjamin Eckart, Jan Kautz, Joshua B. Tenenbaum, Antonio Torralba, Wojciech Matusik

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

SMRD: SURE-Based Robust MRI Reconstruction with Diffusion Models.

Batu Ozturkler, Chao Liu, Benjamin Eckart, Morteza Mardani, Jiaming Song, Jan Kautz

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Online Consistent Video Depth with Gaussian Mixture Representation.

Chao Liu, Benjamin Eckart, Jan Kautz

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

Neural Interferometry: Image Reconstruction from Astronomical Interferometers Using Transformer-Conditioned Neural Fields.

Benjamin Wu, Chao Liu, Benjamin Eckart, Jan Kautz

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Self-Supervised Learning on 3D Point Clouds by Learning Discrete Generative Models.

Benjamin Eckart, Wentao Yuan, Chao Liu, Jan Kautz

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

DeepGMR: Learning Latent Gaussian Mixture Models for Registration.

Wentao Yuan, Benjamin Eckart, Kihwan Kim, Varun Jampani, Dieter Fox, Jan Kautz

Proceedings of the Computer Vision - ECCV 2020, 2020

2018

Fast and Accurate Point Cloud Registration using Trees of Gaussian Mixtures.

Benjamin Eckart, Kihwan Kim, Jan Kautz

CoRR, 2018

HGMR: Hierarchical Gaussian Mixtures for Adaptive 3D Registration.

Benjamin Eckart, Kihwan Kim, Jan Kautz

Proceedings of the Computer Vision - ECCV 2018, 2018

EOE: Expected Overlap Estimation over Unstructured Point Cloud Data.

Benjamin Eckart, Kihwan Kim, Jan Kautz

Proceedings of the 2018 International Conference on 3D Vision, 2018

2017

Compact Generative Models of Point Cloud Data for 3D Perception.

Benjamin Eckart

PhD thesis, 2017

2016

Accelerated Generative Models for 3D Point Cloud Data.

Benjamin Eckart, Kihwan Kim, Alejandro J. Troccoli, Alonzo Kelly, Jan Kautz

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

MLMD: Maximum Likelihood Mixture Decoupling for Fast and Accurate Point Cloud Registration.

Benjamin Eckart, Kihwan Kim, Alejandro J. Troccoli, Alonzo Kelly, Jan Kautz

Proceedings of the 2015 International Conference on 3D Vision, 2015

2013

REM-Seg: A robust EM algorithm for parallel segmentation and registration of point clouds.

Benjamin Eckart, Alonzo Kelly

Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013

2012

An adaptive write buffer management scheme for flash-based SSDs.

Guanying Wu, Xubin He, Benjamin Eckart

ACM Trans. Storage, 2012

Distributed Virtual Diskless Checkpointing: A Highly Fault Tolerant Scheme for Virtualized Clusters.

Benjamin Eckart, Xubin He, Chentao Wu, Ferrol Aderholdt, Fang Han, Stephen L. Scott

Proceedings of the 26th IEEE International Parallel and Distributed Processing Symposium Workshops & PhD Forum, 2012

2011

Predicting in-memory database performance for automating cluster management tasks.

Jan Schaffner, Benjamin Eckart, Dean Jacobs, Christian Schwarz, Hasso Plattner, Alexander Zeier

Proceedings of the 27th International Conference on Data Engineering, 2011

Simulating Multi-Tenant OLAP Database Clusters.

Jan Schaffner, Benjamin Eckart, Christian Schwarz, Jan Brunnert, Dean Jacobs, Alexander Zeier, Hasso Plattner

Proceedings of the Datenbanksysteme für Business, 2011

2010

A Dynamic Performance-Based Flow Control Method for High-Speed Data Transfer.

Benjamin Eckart, Xubin He, Qishi Wu, Changsheng Xie

IEEE Trans. Parallel Distributed Syst., 2010

Hauptspeicherdatenbanken für Unternehmensanwendungen - Datenmanagement für Unternehmensanwendungen im Kontext heutiger Anforderungen und Trends.

Jens Krüger, Martin Grund, Christian Tinnefeld, Benjamin Eckart, Alexander Zeier, Hasso Plattner

Datenbank-Spektrum, 2010

BPAC: An adaptive write buffer management scheme for flash-based Solid State Drives.

Guanying Wu, Benjamin Eckart, Xubin He

Proceedings of the IEEE 26th Symposium on Mass Storage Systems and Technologies, 2010

Towards enterprise software as a service in the cloud.

Jan Schaffner, Dean Jacobs, Benjamin Eckart, Jan Brunnert, Alexander Zeier

Proceedings of the Workshops Proceedings of the 26th International Conference on Data Engineering, 2010

Code-M: A non-MDS erasure code scheme to support fast recovery from up to two-disk failures in storage systems.

Shenggang Wan, Qiang Cao, Changsheng Xie, Benjamin Eckart, Xubin He

Proceedings of the 2010 IEEE/IFIP International Conference on Dependable Systems and Networks, 2010

2009

An Extensible I/O Performance Analysis Framework for Distributed Environments.

Benjamin Eckart, Xubin He, Hong Ong, Stephen L. Scott

Proceedings of the Euro-Par 2009 Parallel Processing, 2009

2008

Failure Prediction Models for Proactive Fault Tolerance Within Storage Environments.

Benjamin Eckart, Xin Chen, Xubin He, Stephen L. Scott

Proceedings of the 16th International Symposium on Modeling, 2008

Performance adaptive UDP for high-speed bulk data transfer over dedicated links.

Benjamin Eckart, Xubin He, Qishi Wu

Proceedings of the 22nd IEEE International Symposium on Parallel and Distributed Processing, 2008